Unlock the Power of Machine Learning: Learn the Techniques that are Revolutionizing Industry!
Machine Learning is transforming the world as we know it. From improving healthcare to predicting market trends, this innovative technology…
The Future Is Here: The Latest News And Developments In The World Of AI!
Artificial intelligence (AI) is rapidly evolving, and it is becoming an integral part of our daily lives. From business to…
Explaining AI Without Code: A User Study on Explainable AI
arXiv:2602.11159v1 Announce Type: new Abstract: The increasing use of Machine Learning (ML) in sensitive domains such as healthcare, finance, and…
Chatting with Images for Introspective Visual Thinking
arXiv:2602.11073v2 Announce Type: replace-cross Abstract: Current large vision-language models (LVLMs) typically rely on text-only reasoning based on a single-pass visual…
TabSieve: Explicit In-Table Evidence Selection for Tabular Prediction
arXiv:2602.11700v1 Announce Type: cross Abstract: Tabular prediction can benefit from in-table rows as few-shot evidence, yet existing tabular models typically…
OMEGA-Avatar: One-shot Modeling of 360{deg} Gaussian Avatars
arXiv:2602.11693v1 Announce Type: cross Abstract: Creating high-fidelity, animatable 3D avatars from a single image remains a formidable challenge. We identified…
OmniVL-Guard: Towards Unified Vision-Language Forgery Detection and Grounding via Balanced RL
arXiv:2602.10687v2 Announce Type: replace-cross Abstract: Existing forgery detection methods are often limited to uni-modal or bi-modal settings, failing to handle…
Discovering Differences in Strategic Behavior Between Humans and LLMs
arXiv:2602.10324v1 Announce Type: new Abstract: As Large Language Models (LLMs) are increasingly deployed in social and strategic scenarios, it becomes…
Fake-HR1: Rethinking Reasoning of Vision Language Model for Synthetic Image Detection
arXiv:2602.10042v2 Announce Type: replace-cross Abstract: Recent studies have demonstrated that incorporating Chain-of-Thought (CoT) reasoning into the detection process can enhance…
GRASP: group-Shapley feature selection for patients
arXiv:2602.11084v1 Announce Type: cross Abstract: Feature selection remains a major challenge in medical prediction, where existing approaches such as LASSO…
SteuerLLM: Local specialized large language model for German tax law analysis
arXiv:2602.11081v1 Announce Type: cross Abstract: Large language models (LLMs) demonstrate strong general reasoning and language understanding, yet their performance degrades…
Infusion: Shaping Model Behavior by Editing Training Data via Influence Functions
arXiv:2602.09987v2 Announce Type: replace-cross Abstract: Influence functions are commonly used to attribute model behavior to training documents. We explore the…